{"id":"https://openalex.org/W2761785940","doi":"https://doi.org/10.1109/tcsvt.2018.2834480","title":"Fast Fine-Grained Image Classification via Weakly Supervised Discriminative Localization","display_name":"Fast Fine-Grained Image Classification via Weakly Supervised Discriminative Localization","publication_year":2018,"publication_date":"2018-05-08","ids":{"openalex":"https://openalex.org/W2761785940","doi":"https://doi.org/10.1109/tcsvt.2018.2834480","mag":"2761785940"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2018.2834480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2834480","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1710.01168","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017511861","display_name":"Xiangteng He","orcid":"https://orcid.org/0000-0001-8502-5685"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangteng He","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047811387","display_name":"Yuxin Peng","orcid":"https://orcid.org/0000-0001-7658-3845"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Peng","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100745535","display_name":"Junjie Zhao","orcid":"https://orcid.org/0000-0002-9233-3683"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junjie Zhao","raw_affiliation_strings":["Institute of Computer Science and Technology, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science and Technology, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5017511861"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":3.9355,"has_fulltext":false,"cited_by_count":85,"citation_normalized_percentile":{"value":0.95423292,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"29","issue":"5","first_page":"1394","last_page":"1407"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.9839286208152771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7949767112731934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7776756882667542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.696412205696106},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6446154117584229},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5997076630592346},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5478004813194275},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5477159023284912},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5058341026306152},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5014369487762451},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4234831929206848},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.361294150352478}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9839286208152771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7949767112731934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7776756882667542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.696412205696106},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6446154117584229},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5997076630592346},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5478004813194275},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5477159023284912},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5058341026306152},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5014369487762451},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4234831929206848},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.361294150352478},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2018.2834480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2018.2834480","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1710.01168","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.01168","pdf_url":"https://arxiv.org/pdf/1710.01168","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1710.01168","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.01168","pdf_url":"https://arxiv.org/pdf/1710.01168","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7599999904632568,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G7072385062","display_name":null,"funder_award_id":"61532005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8355516938","display_name":null,"funder_award_id":"61771025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":87,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W56385144","https://openalex.org/W603908379","https://openalex.org/W1496650988","https://openalex.org/W1536680647","https://openalex.org/W1616462885","https://openalex.org/W1686810756","https://openalex.org/W1797268635","https://openalex.org/W1849277567","https://openalex.org/W1898560071","https://openalex.org/W1928906481","https://openalex.org/W1929903369","https://openalex.org/W1944615693","https://openalex.org/W1955942245","https://openalex.org/W1980526845","https://openalex.org/W1988898685","https://openalex.org/W1994002998","https://openalex.org/W1994488211","https://openalex.org/W1999758002","https://openalex.org/W2020604100","https://openalex.org/W2027922120","https://openalex.org/W2037227137","https://openalex.org/W2088049833","https://openalex.org/W2089597841","https://openalex.org/W2102605133","https://openalex.org/W2104657103","https://openalex.org/W2108598243","https://openalex.org/W2109255472","https://openalex.org/W2118696714","https://openalex.org/W2124386111","https://openalex.org/W2133059825","https://openalex.org/W2134917048","https://openalex.org/W2138011018","https://openalex.org/W2139377814","https://openalex.org/W2151103935","https://openalex.org/W2155839910","https://openalex.org/W2155893237","https://openalex.org/W2159797991","https://openalex.org/W2161381512","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2194011657","https://openalex.org/W2194775991","https://openalex.org/W2202499615","https://openalex.org/W2207849498","https://openalex.org/W2247349754","https://openalex.org/W2289708887","https://openalex.org/W2295107390","https://openalex.org/W2345500696","https://openalex.org/W2462457117","https://openalex.org/W2479109623","https://openalex.org/W2515116636","https://openalex.org/W2520141791","https://openalex.org/W2544405876","https://openalex.org/W2558826852","https://openalex.org/W2560552919","https://openalex.org/W2561238782","https://openalex.org/W2604134068","https://openalex.org/W2605117450","https://openalex.org/W2613718673","https://openalex.org/W2618904480","https://openalex.org/W2758150123","https://openalex.org/W2801883372","https://openalex.org/W2949820118","https://openalex.org/W2950094539","https://openalex.org/W2950725226","https://openalex.org/W2952409693","https://openalex.org/W2953106684","https://openalex.org/W2962798895","https://openalex.org/W2962858109","https://openalex.org/W2963173190","https://openalex.org/W2963725249","https://openalex.org/W2964036919","https://openalex.org/W3103844505","https://openalex.org/W3124951096","https://openalex.org/W6600313631","https://openalex.org/W6602324145","https://openalex.org/W6618372016","https://openalex.org/W6620707391","https://openalex.org/W6638319203","https://openalex.org/W6639204139","https://openalex.org/W6640376812","https://openalex.org/W6683465740","https://openalex.org/W6684191040","https://openalex.org/W6712236487","https://openalex.org/W6730179637","https://openalex.org/W6735649984"],"related_works":["https://openalex.org/W4389116644","https://openalex.org/W2761785940","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2129933262","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856"],"abstract_inverted_index":{"Fine-grained":[0],"image":[1,114,195,254],"classification":[2,55,115,171,184,198,235,255],"is":[3,83,136,180],"to":[4,18,40,86,116,138,182,196,211,232],"recognize":[5],"hundreds":[6],"of":[7,44,53,61,77,99,163,215,225,268],"subcategories":[8],"in":[9],"each":[10],"basic-level":[11],"category.":[12],"Existing":[13],"methods":[14,39,94,248],"employ":[15],"discriminative":[16,33,45,62,107,140,177,191],"localization":[17,34,63,108,134,178],"find":[19],"the":[20,42,51,59,75,88,118,122,153,164,213,223,262,266],"key":[21],"distinctions":[22],"between":[23],"similar":[24],"subcategories.":[25],"However,":[26],"they":[27],"generally":[28],"have":[29],"two":[30,89,119,250],"limitations:":[31],"1)":[32,130],"relies":[35],"on":[36,65,97,160,240,249],"region":[37,208,217],"proposal":[38,209],"hypothesize":[41],"locations":[43],"regions,":[46],"which":[47,70,166,186],"are":[48,71,167,229],"time-consuming":[49],"and":[50,57,74,125,149,169,173,200,237,242,265],"bottleneck":[52],"improving":[54],"speed":[56,236],"2)":[58,174],"training":[60],"depends":[64],"object":[66,148,241],"or":[67],"part":[68,150,243],"annotations":[69],"heavily":[72],"labor-consuming":[73],"obstacle":[76],"marching":[78],"toward":[79],"practical":[80],"application.":[81],"It":[82],"highly":[84],"challenging":[85],"address":[87,117],"limitations":[90,120],"simultaneously,":[91],"while":[92],"existing":[93],"only":[95],"focus":[96,159],"one":[98,194],"them.":[100],"Therefore,":[101],"we":[102],"propose":[103],"a":[104,207],"weakly":[105],"supervised":[106],"approach":[109,260],"(WSDL)":[110],"for":[111,193],"fast":[112],"fine-grained":[113,253],"at":[121],"same":[123],"time,":[124],"its":[126],"main":[127],"advantages":[128],"are:":[129],"multi-level":[131],"attention":[132],"guided":[133],"learning":[135],"proposed":[137,181],"localize":[139],"regions":[141,192],"with":[142,246],"different":[143,161,190],"focuses":[144],"automatically,":[145],"without":[146],"using":[147],"annotations,":[151],"avoiding":[152],"labor":[154],"consumption.":[155],"Different":[156],"level":[157],"attentions":[158],"characteristics":[162],"image,":[165],"complementary":[168],"boost":[170,197],"accuracy":[172,264],"n-pathway":[175],"end-to-end":[176],"network":[179,210],"improve":[183,234],"speed,":[185],"simultaneously":[187,233],"localizes":[188],"multiple":[189],"accuracy,":[199],"shares":[201],"full-image":[202],"convolutional":[203,226],"features":[204],"generated":[205],"by":[206],"accelerate":[212],"process":[214],"generating":[216],"proposals":[218],"as":[219,221],"well":[220],"reduce":[222],"computation":[224],"operation.":[227],"Both":[228],"jointly":[230],"employed":[231],"eliminate":[238],"dependence":[239],"annotations.":[244],"Comparing":[245],"state-of-the-art":[247],"widely":[251],"used":[252],"data":[256],"sets,":[257],"our":[258],"WSDL":[259],"achieves":[261],"best":[263],"efficiency":[267],"classification.":[269]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}